Adding Brian Potter's "The Origins of Efficiency" to my Operations Excellence Class (Review of Chapters 1 and 2)
Summary
A review of the first two chapters (up to page 73) of Brian Potter's book, likely an extension of his "Construction Physics" work, highlights five key areas for efficiency improvement. Potter's framework includes the transformation method, production rate, input/output costs, buffer size, and output variability. The book emphasizes the significant difficulty and systemic changes required when switching production processes, likening it to moving from a car to an airplane, and cites historical examples like Alcoa's failed 20-year, multi-million dollar investment in new technology versus Intel's focus on older tech. It also discusses the historical context of scaling inventions, such as penicillin production, and offers a nuanced view of the S-curve for efficiency, noting that new technologies often involve trade-offs that keep older methods relevant for specific markets. The review also praises the book's rich historical examples, including details about the Model T's original color options and historical resistance to machine adoption.
Key takeaway
For Operations Professionals evaluating process improvements, recognize that adopting new production methods is rarely a simple upgrade. Your team should thoroughly assess the full systemic impact and potential trade-offs, rather than just the direct efficiency gains, to avoid costly failures like Alcoa's or missed opportunities like Intel's early decisions. Consider betting on multiple processes for critical projects.
Key insights
Efficiency improvements involve five key areas, and process changes are complex, often requiring systemic shifts.
Principles
- Switching production processes demands holistic system changes.
- New technologies introduce trade-offs, not just linear improvements.
In practice
- Consider five efficiency areas: transformation, rate, costs, buffer, variability.
- Evaluate new processes for systemic impact beyond initial gains.
Topics
- Operations Efficiency
- Production Processes
- Technology Adoption S-Curve
- Industrial History
- Process Innovation
Best for: Operations Professional, Business Analyst, Consultant
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Editorial summary, takeaway, and curation by AIssential. Original article published by Mike Talks AI.